药物发现
膀胱癌
计算生物学
药品
抗癌药物
癌症
医学
生物
数据科学
计算机科学
药理学
生物信息学
内科学
作者
Inês Aires,B. Parada,Rita Ferreira,Paula A. Oliveira
标识
DOI:10.1080/17460441.2025.2465373
摘要
Over the past decade animal models have been employed to evaluate new mechanisms underlying the responses to standard therapies, aiming to optimize bladder cancer treatment. The authors propose that molecular engineering techniques and AI may hold promise for the future development of more precise and effective targeted therapies in bladder cancer.
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